This dialog lets the user choose the column containing the predicted class values and the column containing the real class values.
This factory creates all necessary classes for the Cross validation aggregator node.
This models aggregates the result from each of the cross validation loops.
This class holds the settings for the aggregation node.
This is the simple dialog for the cross validation node.
This factory creates all necessary classes for the cross validation partioning node.
This is the cross validation partitioning node model that divides the input table into partitions.
Simple class for managing the cross validation settings.
XValidatePartitionModelnode and the
AggregateOutputNodeModelnode should consist of at least a learner and its predictor. The output of the predictor should be connected to the aggregator node. The class column set in the aggregator node and the predictor has to be the same.
KNIME GmbH, Konstanz, Germany
You may not modify, publish, transmit, transfer or sell, reproduce, create derivative works from, distribute, perform, display, or in any way exploit any of the content, in whole or in part, except as otherwise expressly permitted in writing by the copyright owner or as specified in the license file distributed with this product.